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<li class="navelem"><a class="el" href="namespaceshark.html">shark</a></li><li class="navelem"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">KernelBudgetedSGDTrainer</a></li>  </ul>
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  <div class="headertitle"><div class="title">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt; Member List</div></div>
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<p>This is the complete list of members for <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, including all inherited members.</p>
<table class="directory">
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#a4560a94e8f4908fe8627e41e7d965735">BOOST_SERIALIZATION_SPLIT_MEMBER</a>()</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#aacf277842f28d9d49b1aea197ba710ac">budgetMaintenanceStrategy</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a1f1e8961c4e22246f2fe3d023335c571">budgetSize</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a55681941faf8293971193dce813c5651">C</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#aabd1a7c1a563d9c29039fabc8f1a57c2">ClassifierType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a1f29257150948ec40a72088b71509195">ConstBatchInputReference</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html#aa4730fe9d59622d35d95cd4233f8d7af">DatasetType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html">shark::AbstractTrainer&lt; KernelClassifier&lt; InputType &gt; &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a5b834dccb79cf2bd9623ad3caf374aa5">ElementType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a512de58a73a790ce3159452b73c1f892">epochs</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html">shark::AbstractTrainer&lt; KernelClassifier&lt; InputType &gt; &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#af9ee46318c066f68346a9f95b0a9d89b">isUnconstrained</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a5a0280688fb9600606ea098dfa9fb3a5">kernel</a>()</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#abe6e3c9bc8d82159fde4d0d6ce77a29c">kernel</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#aab286ceb068bacf0dcdd21b43c48c231">KernelBudgetedSGDTrainer</a>(KernelType *kernel, const LossType *loss, double C, bool offset, bool unconstrained=false, size_t budgetSize=500, AbstractBudgetMaintenanceStrategy&lt; InputType &gt; *budgetMaintenanceStrategy=NULL, size_t epochs=1, size_t preInitializationMethod=NONE, double minMargin=1.0f)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a60fcdf9770f6f859edaead4ff9a2684e">KernelMatrixType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a2e358ce3d8b3397c0f53bbf04d9c5493">KernelType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html">shark::AbstractTrainer&lt; KernelClassifier&lt; InputType &gt; &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#abdda0c5b8e065b8afbac2cba8f58e841">load</a>(InArchive &amp;archive, unsigned int version)</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a06bca64eeb1641f17d435da555a78c22">LossType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a02e70a83231e2f686b861b9d353ffe23">m_budgetMaintenanceStrategy</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#adefa2c47996b1323231f69b96c0be778">m_budgetSize</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a6c9ddc984e879808a91364668b27da4f">m_C</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a70e4a98aa96a4a85f15dd0fecb2956f1">m_epochs</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a80076005339d5be37635648497fd8ee8">m_kernel</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ab625d21676430dfcbab2dfce0d0a71f2">m_loss</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ace0f955650ddfcfcec23ed5eb3d33307">m_minMargin</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a745df296984693159dcd99dce89e3d7f">m_offset</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a014dcb01ea4274f8f7fc83887573c769">m_preInitializationMethod</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a8cdbe89d6b1e2890ef965f6fd01a747e">m_unconstrained</a></td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a7711ed0cef0489dc1bca0a9cb26e12fa">minMargin</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a62a15b8334075f72a3dfd0827d6d28e5">ModelType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a6479254636b6c638beec35a3ba495f5a">name</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ab2bbffc9336fbe61c3b667f8f3f0672ea3481ccda012741ec6f194790c8fa81b2">NONE</a> enum value</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a66b3bfe5605e929520855fe6d5b95584">numberOfParameters</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ae4573dfb8f348f21bc95c74eddc97b48">parameterVector</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; VectorType &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a86c3c80eefc4b570704a0d8bbc5a0f97">PartlyPrecomputedMatrixType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ab2bbffc9336fbe61c3b667f8f3f0672e">preInitializationMethod</a> enum name</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a46a5cbca5391f2985a52e84ab9fa99fa">QpFloatType</a> typedef</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ab2bbffc9336fbe61c3b667f8f3f0672eaa780ebd48025014f013b4fa68cc4ae45">RANDOM</a> enum value</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#ad4ad9a7c274deff642f91e98417fbc63">read</a>(InArchive &amp;archive)</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#a5bf66fa8db15cc529bec98976a2f5255">save</a>(OutArchive &amp;archive, unsigned int version) const</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a4f87b77aab4f3bc93ab429994d51caf3">setBudgetMaintenanceStrategy</a>(AbstractBudgetMaintenanceStrategy&lt; InputType &gt; *budgetMaintenanceStrategy)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ae45eb76dbab8216393c04a45272c078a">setBudgetSize</a>(std::size_t budgetSize)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a901e47531bcb1c010bbaa859a4666f11">setC</a>(double value)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#ad5bd681e0b7e4f64f8ef3f031fe15396">setEpochs</a>(std::size_t value)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a197676a5f5247401a286c9f2c54db720">setKernel</a>(KernelType *kernel)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a9f083a7f478269c13cf1550e3fe0c469">setMinMargin</a>(double minMargin)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a5150b09e061a93c353990fef1c4bd0a2">setParameterVector</a>(RealVector const &amp;newParameters)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#afc6eff8c84cf39de20aaec579f1716b0">train</a>(ClassifierType &amp;classifier, const LabeledData&lt; InputType, unsigned int &gt; &amp;dataset)</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html#a71d3fd2567473d746ecb733d7fa28c7e">AbstractTrainer&lt; KernelClassifier&lt; InputType &gt; &gt;::train</a>(ModelType &amp;model, DatasetType const &amp;dataset)=0</td><td class="entry"><a class="el" href="classshark_1_1_abstract_trainer.html">shark::AbstractTrainer&lt; KernelClassifier&lt; InputType &gt; &gt;</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#aed3f039e3cfb8b26115d75838453707b">trainOffset</a>() const</td><td class="entry"><a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#a9bddedd42933c922e323b73131f62f12">write</a>(OutArchive &amp;archive) const</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_nameable.html#a877dbdfc6b58ea836495143cea44a98c">~INameable</a>()</td><td class="entry"><a class="el" href="classshark_1_1_i_nameable.html">shark::INameable</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html#a9e3a11172e74d1aa7292f3de4e2b6ebc">~IParameterizable</a>()</td><td class="entry"><a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; VectorType &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="odd"><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html#a7baa9ce108d7278822297ce15882782a">~ISerializable</a>()</td><td class="entry"><a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
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